Uncertainty quantification in fatigue crack-growth predictions

Author:

Giannella V.ORCID

Abstract

AbstractThe reliability of the damage tolerance approach to engineering design is affected by numerous sources of uncertainty that can lead to unsafe predictions, in turn jeopardizing the safety of structures. This work presents a robust stochastic framework for fatigue crack-growth predictions applied to a round bar under tension–compression loading conditions. Multi-source uncertainties were taken into account to derive the lifespan distribution for the bar in such a way to cover the uncertainties typically appearing in a structural integrity assessment. The sensitivity of each input variable was obtained and the influences of variables on the life predictions were derived and ranked accordingly.

Publisher

Springer Science and Business Media LLC

Subject

Mechanics of Materials,Modeling and Simulation,Computational Mechanics

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A multi-layer ML model evolutionary paradigm for high-accuracy individual aircraft SHM;Aerospace Science and Technology;2024-01

2. Markov chain‐assisted stochastic model of crack growth rate;ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik;2023-12-10

3. Effect of double cracks merge on fatigue crack propagation life of engine heat shield;Mechanics of Advanced Materials and Structures;2023-11-10

4. Numerical simulation of fatigue crack growth in an engine heat shield;Mechanics Based Design of Structures and Machines;2023-11-09

5. Neural networks for fatigue crack propagation predictions in real-time under uncertainty;Computers & Structures;2023-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3